Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…To address the issue of ensuring user quality of service in resource allocation for 6G cell-free radio access network slicing under dynamic service variations, a resource allocation algorithm based on multi-timescale collaborative optimization was proposed. Firstly, the large time-scale slice-oriented resource allocation problem was formulated as a mean square error-minimization-based resource demand prediction model with average user latency constraints, and the accurate allocation of slice resources was achieved by a long and short-term memory time-series prediction network. …”
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Bi-level coordinated operation strategy of an active distribution system with load aggregators by Mengjun Shen, Lingling Wang, Zongxiang Lu

“…Finally, the MPEC problem is transformed into a single mixed-integer linear programming model. …”
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Research on On-line Distribution Control Method of Driving Torque of Dual Hub Motor by WU Shi, CHE Cuiru, GUAN Yibo

“…Aiming at the problem of high efficiency and low energy consumption of vehicle driven by dual hub motor ，an optimization method considering the online real-time feedback of driving distance of dual hub motor was proposed. …”
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A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer by Jinghua Li, Ruipu Dong, Xiaoyuan Wu, Wenhao Huang, Pengfei Lin

“…Hyper-heuristic algorithms are known for their flexibility and efficiency, making them suitable for solving engineering optimization problems with complex constraints. This paper introduces a self-learning hyper-heuristic algorithm based on a genetic algorithm (GA-SLHH) designed to tackle the logistics scheduling problem of prefabricated modular cabin units (PMCUs) in cruise ships. …”
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Anti-windup control of saturated switched delayed systems with actuator faults by Chaosheng Hao, Xinquan Zhang

“…A sufficient condition for the state to be bounded is given for the closed-loop system and under this condition the disturbance tolerance problem is transformed into a convex optimization problem with linear matrix inequality constraints. …”
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Distributed Model Predictive Load Frequency Control for Virtual Power Plants with Novel Event-Based Low-Delay Technique Under Cloud-Edge-Terminal Framework by Kai Kang, Nian Shi, Si Cai, Liang Zhang, Xinan Shao, Haohao Cao, Mingjin Fei, Shisen Zhou, Xiongbo Wan

“…A method of the DETM-based distributed model predictive control (DMPC) is proposed, which can shorten the data processing time and further decrease the communication delay. The DMPC problem is described as a “min-max” optimization problem (OP) with hard constraints on the system state. …”
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Smooth likelihood-based collision avoidance for polygon shaped and differential drive vehicles by Yang Zhou, Linjie Kong

“…The constrained optimal control problem is reformulated to improve the smoothness and efficiency. …”
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Multi-UAVs task allocation method based on MPSO-SA-DQN by Peng Pengfei, Gong Xue, Zheng Yalian

“…Although many methods are proposed to solve the Multi-UAV task allocation, there still existing the problems of complex time constraints and uncertain solution space. …”
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Minimum principle and controllability for multiparameter discrete inclusions via derived cones by Aurelian Cernea

“…This result allows to obtain sufficient conditions for local controllability along a reference trajectory and a new proof of the minimum principle for an optimization problem given by a multiparameter discrete inclusion with endpoint constraints.…”
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SCIENTIFIC AND PRACTICAL PROPOSALS ON THE CHOICE AND APPLICATION OF STRATEGIC CONTROLLING INSTRUMENTS AT THE ENTERPRISE IN THE MODERN CONDITIONS by Lyudmyla Malyarets, Olena Iastremska

“…In order to determine the optimal values of indicators that can be achieved, taking into account the real possibilities of an enterprise, it is recommended to solve an optimization problem, the solution of which provides optimal values of the indicators. …”
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Energy Efficiency Maximization for Device-to-Device Communication Underlaying Cellular Networks on Multiple Bands by Yuan Zhang, Yang Yang, Linglong Dai

“…Then, we formulate the optimization problem of maximizing the EE subject to four constraints regarding to transmission power and outage probabilities, and the non-convexity of this problem is also verified. …”
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Hierarchical Online Air Combat Maneuver Decision Making and Control Based on Surrogate-Assisted Differential Evolution Algorithm by Mulai Tan, Haocheng Sun, Dali Ding, Huan Zhou, Tong Han, Yuequn Luo

“…Considering the real-time constraints, the maneuver decision problem is transformed into an expensive optimization problem at the decision planning layer. …”
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A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

“…In view of the above deficiencies, this paper constructs a cloud-edge collaborative computing model, and related task queue, delay, and energy consumption model, and gives joint optimization problem modeling for task offloading and resource allocation with multiple constraints. …”
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Robust State Feedback Stabilization of Uncertain Discrete-Time Switched Linear Systems Subject to Actuator Saturation by Xinquan Zhang, Guoliang Wang, Jun Zhao

“…Furthermore, when some parameters are given in advance, the state feedback controllers and the estimation of domain of attraction are presented by solving a convex optimization problem subject to a set of linear matrix inequalities (LMI) constraints. …”
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Multi-source Coordinated Scheduling of Receiving Power System Considering Voltage Stability Based on Information Gap Decision Theory by Xi YE, Gechao HUANG, Xi WANG, Yanfeng WANG, Tong ZHU, Chuan HE, Yuqi ZHANG

“…On this basis, voltage stability constraints are generated through voltage stability margin threshold, and voltage stability constraints are added to multi-source coordinated optimization problem for the receiving power system through each iteration to achieve the improvement of voltage stability indicator. …”
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Prioritized Experience Replay–Based Path Planning Algorithm for Multiple UAVs by Chongde Ren, Jinchao Chen, Chenglie Du

“…In complex environments, the path planning problem, which is a multiconstraint combinatorial optimization problem and hard to settle, requires considering numerous constraints and limitations and generates the best paths for each UAV to accomplish group tasks. …”
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Research on Collision Access Method for Satellite Internet of Things Based on Bayliss Window Function by Xinjie Zhao, Ziwei Liu, Yuanyuan Xu, Yihan Du, Bin Lyu, Leiyao Liao, Gengxin Zhang

“…This leads to the problem of limited throughput enhancement. In this paper, an auxiliary beam weight optimization method for satellite IoT capacity enhancement is proposed. …”
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A Mixed-Integer Programming Framework for Drone Routing and Scheduling with Flexible Multiple Visits in Highway Traffic Monitoring by Nasrin Mohabbati-Kalejahi, Sepideh Alavi, Oguz Toragay

“…This paper presents a novel Drone Routing and Scheduling with Flexible Multiple Visits (DRSFMV) framework, an optimization model for planning drone-based highway monitoring under realistic operational constraints, including battery limits, variable monitoring durations, recharging at a depot, and target-specific inter-visit time limits. …”
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Spectrum Sharing Design for Integrated Aeronautical Communication and Radar System by Lanchenhui Yu, Jingjing Zhao, Quan Zhou, Yanbo Zhu, Kaiquan Cai

“…An alternative optimization (AO) algorithm is proposed to solve the non-convex problem with highly coupled variables. …”
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Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

“…In order to solve the problem of target loss caused by too small target RCS in the process of long-range enemy contact, the relationship between target RCS and radar detection probability is analyzed, and a guidance method based on Particle Swarm Optimization (PSO) is proposed. …”
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